Results 1 to 10 of about 11,791,318 (296)

L 1 -norm and other methods for sample allocation in multivariate stratified surveys

, 1987
A. Melaku, G. Sadasivan
semanticscholar   +1 more source

Sample allocation for multiple attribute selection problems

Proceedings of the Winter Simulation Conference 2014, 2014
Dennis D. Leber, Jeffrey W. Herrmann
openaire   +1 more source

Resource Discovery and Allocation in Network Virtualization

IEEE Communications Surveys and Tutorials, 2012
Ahmed Karmouch
exaly  

Biomass allocation to leaves, stems and roots: meta‐analyses of interspecific variation and environmental control

New Phytologist, 2012
Pieter Poot, Hendrik Poorter, Liesje Mommer   +2 more
exaly  

A comprehensive reliability allocation method for design of CNC lathes

Reliability Engineering and System Safety, 2001
Richard Yam, Peter W T Tse, Mingjian Zuo   +2 more
exaly  

Influence of fly ash allocation approaches on the life cycle assessment of cement-based materials

Journal of Cleaner Production, 2017
Daman Panesar
exaly  

An Arabidopsis single-nucleus atlas decodes leaf senescence and nutrient allocation

Cell
Huan Liu, Dongming Fang
exaly  

Anticlustering for sample allocation to minimize batch effects [PDF]

Cell Reports: Methods
Summary: High-throughput sequencing enables efficient processing of DNA and RNA samples in batches, but batch effects can obscure true biological signal.
Martin Papenberg, Cheng Wang, Maïgane Diop, Syed Hassan Bukhari, Boris Oskotsky, Brittany R. Davidson, Kim Chi Vo, Binya Liu, Juan C. Irwin, Alexis J. Combes, Brice Gaudilliere, Jingjing Li, David K. Stevenson, Gunnar W. Klau, Linda C. Giudice, Marina Sirota, Tomiko T. Oskotsky   +16 more
doaj   +5 more sources

Multiobjective intuitionistic fuzzy programming under pessimistic and optimistic applications in multivariate stratified sample allocation problems. [PDF]

PLoS One, 2023
This study investigates the compromise allocation of multivariate stratified sampling with complete response and nonresponse. We have formulated a multivariate stratified sampling problem as a mathematical programming problem to estimate p-population ...
Raghav YS, Haq A, Ali I.
europepmc   +2 more sources

Propensity scores as a novel method to guide sample allocation and minimize batch effects during the design of high throughput experiments. [PDF]

BMC Bioinformatics, 2023
Background We developed a novel approach to minimize batch effects when assigning samples to batches. Our algorithm selects a batch allocation, among all possible ways of assigning samples to batches, that minimizes differences in average propensity ...
Carry PM, Vigers T, Vanderlinden LA, Keeter C, Dong F, Buckner T, Litkowski E, Yang I, Norris JM, Kechris K.   +9 more
europepmc   +2 more sources